Director of Developer Productivity

Bill.com Bill.com · Fintech · United States · Engineering

Director of Developer Productivity at Bill.com, leading the engineering organization responsible for developer tooling and service platform infrastructure. The role focuses on an AI-native developer experience strategy to accelerate the SDLC, including AI coding assistants, agentic workflows, and AI-driven guardrails for security and compliance.

What you'd actually do

  1. Own the strategy and roadmap for BILL's AI-augmented developer platform across two core pillars: developer tooling (local development workflows, AI coding assistants, IDE context-injection, code automation, CI/CD, Code Review, and internal bots) and service platform (the infrastructure for building, maintaining, operating, and retiring services across the company's 250+ services).
  2. Drive company-wide change management to standardize how engineering teams build and ship, including defining service templating, common libraries, and AI-driven guardrails that proactively intercept security vulnerabilities and compliance drift during the generation phase.
  3. Lead, grow, and develop a team of engineers and engineering managers, partnering with the current team to restore stability and direction following org changes, and setting a high bar for craft, accountability, and AI tool fluency.
  4. Scale the developer experience: architecting the infrastructure required to embed coding assistants into daily workflows, optimizing knowledge base codebase context, and deploying agentic workflows to automate routine refactoring and migrations.
  5. Optimize the engineering "inner loop" by owning the strategy, tooling, and runtime configurations for local developer environments (workstations/laptops). Deliver fast feedback loops, containerized local environments, and robust containerized strategies that enable engineers to reliably build, debug, and test complex, multi-service architectures locally before code ever reaches a shared test environment.

Skills

Required

  • 12+ years of experience in software engineering or infrastructure
  • at least 5 years leading platform, DevX, or infrastructure teams at a Director level or equivalent scope
  • Proven track record of implementing, scaling, and measuring AI-assisted development tools (e.g., AI pair programmers, automated code review agents) across a scaled engineering organization (300+ engineers)
  • Demonstrated ability to lead organizational change at scale: you have owned the rollout of engineering standards, tooling, or platform migrations that required buy-in across a distributed engineering organization
  • Extensive technical depth and architectural leadership in modern DevOps practices operating in the cloud: Specifically featuring production-scale experience with Kubernetes (k8s), ArgoCD, and GitLab CI/CD platforms (AWS environment preferred)
  • Deep technical and strategic mastery of modern coding assistant technologies (e.g., GitHub Copilot, Cursor, Claude) and their underlying mechanics

What the JD emphasized

  • AI-native developer experience strategy
  • AI-augmented developer platform
  • AI coding assistants
  • agentic workflows
  • AI-driven guardrails
  • AI tool fluency
  • AI adoption metrics

Other signals

  • AI-native developer experience strategy
  • AI coding assistants
  • agentic workflows
  • AI-driven guardrails